CNP-MLDM: Contract Net Protocol for Negotiation in Machine Learning Data Market

• Type: Article in International Conference Proceedings Book
• Date: 2024

Authors

Baghcheband, H (Author) Other; Carlos Soares (Author) FEUP; reis, lp (Author) FEUP

Conference proceedings International

Title: Proceedings of the Discovery Science Late Breaking Contributions 2024 (DS-LB 2024) co-located with 27th International Conference Discovery Science 2024 (DS 2024), Pisa, Italy, 14-16 October 2024.

2024 Discovery Science Late Breaking Contributions, DS-LB 2024

Pisa, 14 October 2024 through 16 October 2024

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-018-AA8

Abstract (EN): The Machine Learning Data Market (MLDM), which relies on multi-agent systems, necessitates robust negotiation strategies to ensure efficient and fair transactions. The Contract Net Protocol (CNP), a well-established negotiation strategy within Multi-Agent Systems (MAS), offers a promising solution. This paper explores the integration of CNP into MLDM, proposing the CNP-MLDM model to facilitate data exchanges. Characterized by its task announcement and bidding process, CNP enhances negotiation efficiency in MLDM. This paper describes CNP tailored for MLDM, detailing the proposed protocol following experimental results. © 2022 Copyright for this paper by its authors.

Language: English

Type (Professor's evaluation): Scientific